Mar 30, 2026 9:00 AM
ET
|
Chelsea Pier, NY

Meet Adlib at InsurTech Spring Conference 2026 (NY)

Turn inbound emails, attachments, and documents into trusted, audit-ready data, so high-confidence work flows straight-through and exceptions route cleanly to human review.

Your “front door” is still fragmented (emails, scanned forms, PDFs, images, third-party docs) creating:

  • Intake bottlenecks and manual routing
  • Exceptions and rework when data can’t be trusted
  • Increased fraud exposure and regulatory scrutiny
  • AI/automation that stalls because inputs aren’t reliable

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What we’re showing in NY

Adlib’s end-to-end approach: Agentic Intake + Accuracy & Trust.

  • Agentic Intake: captures inbound communications and converts them into structured work (tasks/cases), improving routing and reducing intake friction.
  • Accuracy & Trust Layer: validates and governs content using measurable confidence so downstream AI and automation decisions are based on trusted data.

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Why “accuracy-gated” matters

Agentic intake is only as good as the information it’s fed. Adlib is designed to:

  • Quantify trust upfront (before content drives downstream actions)
  • Automate when confidence is high
  • Route exceptions when it’s not (clear, review-ready context)
  • Support audit-ready handling for regulated environments

Bring your nastiest document and we'll process it at our booth!

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Demo flow: intake → trust → decision

See an end-to-end workflow:

  1. Inbound email + attachments arrive
  2. Agentic intake creates structured work (task/case)
  3. Adlib validates, scores, and standardizes outputs
  4. High-confidence items route forward automatically
  5. Exceptions route to human review with context
  6. Trusted outputs land in downstream claims/core/analytics stacks

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Outcomes insurers care about

  • Fewer exceptions and less rework by gating automation on confidence
  • Faster cycle times without trading away control
  • More defensible compliance posture with audit-ready outputs
  • A foundation you can scale across high-volume intake channels

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Who should meet with us

This is for leaders responsible for:

  • Claims intake modernization / digital mailroom replacement
  • Straight-through processing initiatives
  • AI/automation programs that need trustworthy inputs
  • Reducing exception queues, QA burden, and compliance risk

Our Speakers

Anthony Vigliotti

Anthony Vigliotti

Chief Product Officer
|
Adlib

Anthony Vigliotti is Chief Product Officer at Adlib Software with 20+ years in business workflow and intelligent document processing. He started in manufacturing at Xerox, designing components for toner-cartridge remanufacture and earning a patent in the process. Seeing how outdated document processes slowed operations, he pushed for new automation approaches—momentum that led Xerox to sponsor his return to university for a master’s in Information Technology. Since then, Anthony has led product management, alliance/partner strategy, and product development across Xerox, Notable Solutions (NSi), Nuance, and Kofax. His work centers on turning unstructured content into reliable, compliant, AI-ready data that accelerates real-world outcomes in regulated industries. Anthony holds a B.S. in Mechanical Engineering and an M.S. in Information Technology, both from the Rochester Institute of Technology.

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Maarten Callaert

Maarten Callaert

COO / Co-Founder
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Paperbox.ai

Maarten Callaert is the co-founder and COO of Paperbox, an AI company helping insurance teams automate email and document-heavy workflows. Based in Belgium, he focuses on reducing manual workload and improving operational efficiency through practical, customer-driven solutions. He combines a background in business engineering with a strong focus on building products that challenge the status quo.

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Kunal Bargotra

Kunal Bargotra

Product Manager
|
Adlib

Kunal is an accomplished Product Owner with a passion for solving real-world problems through innovative product development. He's mastered the art of engaging stakeholders, conducting market research, and devising impactful go-to-market strategies. Kunal will assist Anthony in demonstrating Adlib's new enhancements in a detailed live presentation.

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Joe Kurtzweil

Joe Kurtzweil

Strategic Account Executive
|
Adlib Software

Joe Kurtzweil is an Account Executive at Adlib, focused on helping financial services organizations modernize document-heavy workflows and unlock AI-ready data. With a background across enterprise content services and cybersecurity at companies like Hyland, Trellix, and Palo Alto Networks, he brings a strong perspective on risk, compliance, and operational efficiency. He works with enterprise clients to reduce manual processing and improve accuracy in high-stakes environments.

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Keith Haas

Keith Haas

Strategic Account Executive
|
Adlib Software

Keith Haas is a Senior Strategic Account Executive at Adlib, where he works with large enterprises to turn complex, document-heavy processes into trusted, AI-ready data pipelines. With over two decades of experience spanning IBM, Ephesoft, and Base64.ai, he has led global services, product strategy, and delivery organizations across cloud, enterprise content, and intelligent document processing. Known for his strategic and customer-focused approach, Keith helps organizations drive measurable outcomes, reducing manual effort, improving compliance, and accelerating time to value from AI.

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MANUFACTURING

Adlib: The Foundation for DocumentAccuracy in Chemical Refining

When we made the decision to change rendering solutions, we looked towards3 separate vendors. Overall, Adlib seemed more mature as a software option.

Challenge
Legacy conversion tools couldnʼt handle the volume and complexity of engineering files, forcing constant IT intervention and delaying CAD conversions into shareable formats. Flat TIFF outputs were unsearchable and lost layer previews—slowing collaboration, creating inefficiencies, and weakening archival practices.

Solution
Safeguarded engineering Adlib improved efficiency, cut administrative overhead, and safeguarded engineering drawings to reduce legal risk. Engineers and contractors gained faster access and smoother collaboration, while IT reduced workload, support needs, and infrastructure costs with a smaller server footprint.

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MANUFACTURING

Adlib: The Foundation for DocumentAccuracy in Chemical Refining

When we made the decision to change rendering solutions, we looked towards3 separate vendors. Overall, Adlib seemed more mature as a software option.

Challenge
Legacy conversion tools couldnʼt handle the volume and complexity of engineering files, forcing constant IT intervention and delaying CAD conversions into shareable formats. Flat TIFF outputs were unsearchable and lost layer previews—slowing collaboration, creating inefficiencies, and weakening archival practices.

Solution
Safeguarded engineering Adlib improved efficiency, cut administrative overhead, and safeguarded engineering drawings to reduce legal risk. Engineers and contractors gained faster access and smoother collaboration, while IT reduced workload, support needs, and infrastructure costs with a smaller server footprint.

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Insurance

Insurance Giant Automates Heavy Admin Work in Claims, Saving Millions

Insurance giant automates heavy admin work in claims, saving millions

Challenge

As full-time employees (FTEs) struggled to manually process 90k claim-related documents each day to meet the company SLAs, the claims department overhead was getting out of hand. In addition, customer frustration and increased churn was a direct result of response times being many days from the customer’s claim submission.

Solution

Adlib optimized the claims-processing workflow by automating the ingestion, digitization, intelligent assembly, and publishing of compliant claims in PDF format. This transformation significantly minimized the manual effort required from FTEs, allowing them to concentrate on claim approvals and improving customer relationships. As a direct outcome, the company saw a remarkable 90% reduction in administrative work tied to pre-processing claim documentation. This in turn slashed their operational budget by $6 million. What’s more, overall customer service satisfaction improved as the efficiency boost dramatically accelerated customer response times from days to hours.

Insurance giant automates heavy admin work in claims, saving millions
Insurance

Modernizing Claims Processing & Document Management Workflow

“We very quickly realized that Adlib was the right tool for us — it was the only PDF rendition product out of the seven or eight we looked at that met our requirements for 100% fidelity and integration.” — Director of Architecture & IS Risk

Challenge

The insurance company needed to incorporate an automated PDF rendering capability with high-fidelity output into its workflow that would integrate with its Guidewire ClaimCenter® claims processing system and IBM® FileNet® repository.

Solution

To modernize the application systems supporting its P&C operations, the insurance company embarked on a major, multi-year initiative—its Enterprise Systems Renewal Strategy—that has already seen the introduction of a new Broker Transaction Portal and a new Claims Processing system. Ultimately, the program will also see the company completely revamp its existing Policy Administration system and the ERP system used for managing financial processes.

Modernizing Claims Processing & Document Management Workflow
Life Sciences

Pharma manufacturer minimizes compliance risk in batch delivery

“Every file type is rendered through Adlib as all materials are required to be stored as PDFs. The files we are processing can be a mixture of different things such as product specifications, ingredients, formulas, raw materials used in products, or specifics of packaging. Adlib is integrated with Enovia, our active quality management tool. We rely heavily on that tool,” – Sr. Manager Platform

Challenge

This pharma manufacturer faced significant challenges in managing the diverse types of files involved in their batch delivery workflows. The necessity to render every file type into PDFs for consistent storage was complicated by the variety of materials they handled, including product specifications, ingredients, formulas, raw materials, and packaging details. This complexity made it difficult to maintain a standardized and efficient document management process, leading to process inefficiencies, documentation inconsistencies and, ultimately, a compliance risk.

Solution

Tthe company implemented Haistaq into their batch delivery, quality assurance and manufacturing workflows. Adlib's robust rendering capabilities allowed for the automatic conversion of all file types into standardized PDFs, regardless of their origin. This streamlined the document management process, ensuring that all materials, from product specifications to packaging specifics, were consistently and efficiently stored as PDFs. As a result, the company achieved greater efficiency in their workflows, improved the consistency and accessibility of their documentation, and reduced the complexity and manual effort previously required to manage diverse file types. This implementation also enhanced compliance and operational efficiency, supporting their commitment to quality and regulatory standards.

Pharma Manufacturer Minimizes Compliance Risk in Batch Delivery

Put the Power of Accuracy Behind Your AI

Whether you’re scaling GenAI, modernizing regulatory submissions, or simply trying to get out from under manual document work, Adlib helps you turn unstructured content into a reliable asset. Not a hidden risk.

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